US Charts

Data available through: 2020-05-18

This data is downloaded directly from the European CDC. This data requires formating the dates and calculating the cumulative totals. If you want to the data already ‘cleaned/wrangled’, you can take it from Our World in Data who gets their data from the Eurpoean CDC. They file can be found here and is called full_data.csv; also called “All four metrics”.

This data is from the ECDC and thus updated based on Eurpoean time zone days. Because of this the datas and values do not match up with the American CDC values. However, I am sticking with the EDC data set as it is available for download; where the CDC data is not.

I am restricted the charts to show values after March 17, 2020 (first date in data set is March 18, 2020). This is when preventative measures started to increase dramatically. In addition, given the small number of cases prior to this date caused great variability in the growth rate and has multiple instances where it’s NA or equal to infinity.

Total Cases and Total Deaths

These show the cumulative total of cases and deaths.

Growth Factor and New Cases

One important calculation is the growth factor, as outline in 3Blue1Brown’s youtube video on exponential growth . The growth rate is calculated as follows:

\[ \text{Growth Factor} = \frac{ \text{New-Cases}_N}{\text{New-Cases}_{N-1}} \] where \(N\) is a given day.

In order to see if the pandemic is slowing down, it is helpful to look at the growth factor and the daily new cases. For both these values; we want to see a decrease in values from day to day - which indicates that less people are getting sick. Recall that a growth factor less than 1 is a positive sign that the growth of cases is slowing down. Growth factor is directly related to new cases - if daily new cases goes now the growth factor is less than 1; if daily cases goes up the growth factor is greater than one. These two charts represent the same information in two differnt ways.

There can be a lot of variability in the daily points - this is due to many different variables. On variable is the availability of tests, cases will go down if there is scarcity of tests and rise dramatically when more tests become available. One way to help get a better sense over the overall trend is by smoothing the data.

New Deaths and Death Percentage

I also wanted to look at the dealth percentage which I calculated as the total number of deaths divided by the total number of cases for a given day.

Values for Past Week

Date Total Cases New Cases Growth Factor Total Deaths New Deaths Death Percentage
Mon, May 18, 2020 1,486,757 18,873 0.77 89,562 808 6.024%
Sun, May 17, 2020 1,467,884 24,487 0.96 88,754 1,186 6.046%
Sat, May 16, 2020 1,443,397 25,508 0.94 87,568 1,662 6.067%
Fri, May 15, 2020 1,417,889 27,143 1.31 85,906 1,773 6.059%
Thu, May 14, 2020 1,390,746 20,782 0.94 84,133 1,746 6.049%
Wed, May 13, 2020 1,369,964 22,048 1.22 82,387 1,703 6.014%
Tue, May 12, 2020 1,347,916 18,117 0.89 80,684 1,156 5.986%
Mon, May 11, 2020 1,329,799 20,258 0.79 79,528 734 5.980%
Sun, May 10, 2020 1,309,541 25,612 0.95 78,794 1,614 6.017%
Sat, May 09, 2020 1,283,929 26,957 0.95 77,180 1,510 6.011%
Fri, May 08, 2020 1,256,972 28,369 1.18 75,670 2,239 6.020%
Thu, May 07, 2020 1,228,603 24,128 1.01 73,431 2,353 5.977%
Wed, May 06, 2020 1,204,475 23,841 1.06 71,078 2,144 5.901%
Tue, May 05, 2020 1,180,634 22,593 0.9 68,934 1,252 5.839%

State Maps of Growth Factor

Data available through: 2020-05-17

Growth Factor - looking at states

Growth Factor - looking at counties